Triple

T17655883
Position Surface form Disambiguated ID Type / Status
Subject Point of Rocks, Maryland E429619 entity
Predicate near P350 FINISHED
Object Leesburg, Virginia NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Leesburg, Virginia | Statement: [Point of Rocks, Maryland, near, Leesburg, Virginia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leesburg, Virginia
Context triple: [Point of Rocks, Maryland, near, Leesburg, Virginia]
  • A. Leesburg
    Leesburg is a small city in central Florida known for its historic downtown, numerous lakes, and annual festivals such as Bikefest.
  • B. Leesburg chosen
    Leesburg is a historic town in Loudoun County that serves as a suburban hub of Northern Virginia near Washington, D.C.
  • C. Falls Church
    Falls Church is an independent city in Northern Virginia, near Washington, D.C., known for its small size, historic character, and suburban residential communities.
  • D. Reston
    Reston is a planned community in Fairfax County, Virginia, known for its pioneering mixed-use design, extensive green spaces, and vibrant residential and commercial centers.
  • E. Reston
    Reston is a small rural village in the Scottish Borders region of southeastern Scotland.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e40e344819086a49c69f8f2956b completed April 19, 2026, 5:55 a.m.
Created at: April 10, 2026, 6:06 a.m.